Social
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
基于FastMoss数据搜索和筛选TikTok全球电商商品，支持关键词搜索、多维度筛选（类目、店铺类型、佣金率、销量、达人数等）和排序。当用户提到TikTok选品、TikTok商品搜索、TikTok产品数据、TikTok达人带货、TikTok佣金率、TikTok爆款追踪、TikTok GMV分析、TikTok product search, TikTok product research…
MITAuto-check passed
Install Linkfox Fastmoss Product Search
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-fastmoss-product-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-fastmoss-product-search --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-fastmoss-product-search .claude/skills/linkfox-fastmoss-product-search && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "linkfox-fastmoss-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-fastmoss-product-search into .claude/skills/linkfox-fastmoss-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-fastmoss-product-search", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-fastmoss-product-searchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-fastmoss-product-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-fastmoss-product-search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-fastmoss-product-search .agents/skills/linkfox-fastmoss-product-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-fastmoss-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-fastmoss-product-search into .agents/skills/linkfox-fastmoss-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-fastmoss-product-search", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-fastmoss-product-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-fastmoss-product-search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-fastmoss-product-search .cursor/skills/linkfox-fastmoss-product-search && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkfox-fastmoss-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-fastmoss-product-search into .cursor/skills/linkfox-fastmoss-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-fastmoss-product-search", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/linkfox-ai/linkfox-skills.git --path skills/linkfox-fastmoss-product-search--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-fastmoss-product-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-fastmoss-product-search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-fastmoss-product-search .gemini/skills/linkfox-fastmoss-product-search && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkfox-fastmoss-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-fastmoss-product-search into .gemini/skills/linkfox-fastmoss-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-fastmoss-product-search", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install linkfox-ai/linkfox-skills linkfox-fastmoss-product-searchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-fastmoss-product-search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-fastmoss-product-search .github/skills/linkfox-fastmoss-product-search && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-fastmoss-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-fastmoss-product-search into .github/skills/linkfox-fastmoss-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-fastmoss-product-search", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-fastmoss-product-search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-fastmoss-product-search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-fastmoss-product-search .opencode/skills/linkfox-fastmoss-product-search && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-fastmoss-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-fastmoss-product-search into .opencode/skills/linkfox-fastmoss-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-fastmoss-product-search", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
linkfox-fastmoss-product-search- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~2.5k tokens
- SKILL.md length
- 997 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
基于FastMoss数据搜索和筛选TikTok全球电商商品，支持关键词搜索、多维度筛选（类目、店铺类型、佣金率、销量、达人数等）和排序。当用户提到TikTok选品、TikTok商品搜索、TikTok产品数据、TikTok达人带货、TikTok佣金率、TikTok爆款追踪、TikTok GMV分析、TikTok product search, TikTok product research…
- Works in 7 steps: Present data only: Show query results in… → Commission formatting: Commission rate… → Cross-border awareness: isCrossBorder: 1… → …
- SKILL.md covers Core Concepts, Parameter Guide, 调用方式 and 解决认证和算力问题, plus 7 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Fastmoss Product Search is an agent skill from linkfox-ai/linkfox-skills. 基于FastMoss数据搜索和筛选TikTok全球电商商品，支持关键词搜索、多维度筛选（类目、店铺类型、佣金率、销量、达人数等）和排序。当用户提到TikTok选品、TikTok商品搜索、TikTok产品数据、TikTok达人带货、TikTok佣金率、TikTok爆款追踪、TikTok GMV分析、TikTok product search, TikTok product research, TikTok creator sales, TikTok commission rate, TikTok GMV analysis, FastMoss时触发此技能。即使用户未明确提及"FastMoss"，只要其需求涉及在TikTok平台搜索商品数据或分析商品表现，也应触发此技能。
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/fastmoss_product_search.py`).
It works with TikTok. The licence is MIT.
Example prompts
- “FastMoss”
- “/linkfox-fastmoss-product-search”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Present data only: Show query results in organized tables with key columns — product name, price, total sales, 7-day sales, GMV, rating…
- Commission formatting: Commission rate is a decimal (0.10 = 10%) — always display as percentage for readability
- Cross-border awareness: isCrossBorder: 1 = cross-border shop, 0 = local shop. Display clearly
- Currency awareness: Include the currency field from the response when displaying prices and GMV
- Trend labels: Display salesTrendFlagText directly as the trend indicator
- Shop flags: Display freeShippingText and isSShopText directly (values are readable text)
- Error handling: When a query fails, explain the reason based on the response and suggest adjusting parameters
What it can do on your machine
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
skill.linkfox.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Fastmoss Product Search loads about 2.5k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 997 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 997 words, ~2,472 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-fastmoss-product-search/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-fastmoss-product-search
- description
- 基于FastMoss数据搜索和筛选TikTok全球电商商品，支持关键词搜索、多维度筛选（类目、店铺类型、佣金率、销量、达人数等）和排序。当用户提到TikTok选品、TikTok商品搜索、TikTok产品数据、TikTok达人带货、TikTok佣金率、TikTok爆款追踪、TikTok GMV分析、TikTok product search, TikTok product research, TikTok creator sales, TikTok commission rate, TikTok GMV analysis, FastMoss时触发此技能。即使用户未明确提及"FastMoss"，只要其需求涉及在TikTok平台搜索商品数据或分析商品表现，也应触发此技能。
FastMoss - TikTok Product Search
This skill guides you on how to search and filter TikTok Shop product data using FastMoss, helping sellers and marketers discover product opportunities, evaluate sales performance, and identify influencer-driven products across 15 TikTok markets worldwide.
Core Concepts
FastMoss is a well-known TikTok e-commerce data platform that tracks product performance across multiple TikTok marketplaces. This tool provides keyword-based product search with rich filtering capabilities, returning detailed product data including multi-period sales (7-day/28-day/90-day/total), GMV (revenue), pricing, ratings, review counts, commission rates, influencer promotion statistics, and shop information.
Sales metrics: Products include multi-period sales data — 7-day, 28-day, 90-day, and total sales. The same granularity applies to GMV (Gross Merchandise Value) amounts.
Commission rate: Stored as a decimal (e.g., 0.10 means 10%). When displaying to the user, convert to percentage format.
Shop types: Products can be filtered by shop type — local shops (1) or cross-border shops (2). The isCrossBorder field (1=cross-border, 0=local) and isSShopText field (TikTok fully-managed shop) provide additional shop classification.
Parameter Guide
Search & Filtering
| Parameter | Type | Required | Description |
|---|---|---|---|
| keyword | string | No | Search keyword (product title fuzzy match) |
| region | string | No | Market region code. Supported: US, GB, MX, ES, DE, IT, FR, ID, VN, MY, TH, PH, BR, JP, SG |
| category | string | No | Category name in English, matched to TikTok category ID. Non-English should be translated first |
| shopType | integer | No | Shop type: 1=local shop, 2=cross-border shop |
Boolean Filters
| Parameter | Type | Required | Description |
|---|---|---|---|
| isTopSelling | boolean | No | Filter hot-selling products only |
| isNewListed | boolean | No | Filter new products only |
| isSshop | boolean | No | Filter TikTok fully-managed (S-shop) products only |
| isFreeShipping | boolean | No | Filter free-shipping products only |
| isLocalWarehouse | boolean | No | Filter local warehouse products only |
Range Filters
| Parameter | Type | Required | Description |
|---|---|---|---|
| unitsSoldRange | object | No | Sales volume range filter: {min, max} |
| commissionRateRange | object | No | Commission rate range filter: {min, max} |
| creatorCountRange | object | No | Creator/influencer count range filter: {min, max} |
Sorting & Pagination
| Parameter | Type | Required | Description |
|---|---|---|---|
| orderField | string | No | Sort field: day7_units_sold, day7_gmv, commission_rate, total_units_sold, total_gmv, creator_count. Default: descending |
| page | integer | No | Page number, default 1 |
| pageSize | integer | No | Items per page, max 10, default 10 |
Supported Markets (15)
US (United States), GB (United Kingdom), MX (Mexico), ES (Spain), DE (Germany), IT (Italy), FR (France), ID (Indonesia), VN (Vietnam), MY (Malaysia), TH (Thailand), PH (Philippines), BR (Brazil), JP (Japan), SG (Singapore)
调用方式
- API 端点：
POST /fastmoss/productSearch（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/fastmoss_product_search.py '<JSON 参数>' [--inline] - 成本约束：本工具会消耗算力；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。
输出策略（脚本默认行为）：
- 始终将完整响应写入
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-fastmoss-product-search-<timestamp>.json（<cwd>为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session>取自环境变量SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错） - 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
- 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如
total/costToken、最大列表字段的长度 + 前 3 条样本） - 加
--inline强制全量打印到 stdout（同样落盘）
读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。
解决认证和算力问题
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
异常情况
- 未配置API Key：环境变量未配置
LINKFOX_AGENT_API_KEY，也未配置LINKFOXAGENT_API_KEY。 - 响应401或402状态码
- 响应提示算力或余额不足：消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。
Data Fields
Key fields returned for each product:
| Field | Description |
|---|---|
| title | Product name |
| productId | Unique product identifier |
| region | Market region code |
| price, minPrice, maxPrice | Product price and price range |
| currency | Currency code |
| totalSaleCnt | Total cumulative sales |
| totalSale1dCnt, totalSale7dCnt, totalSale28dCnt, totalSale90dCnt | Sales by period |
| totalSaleGmvAmt, totalSaleGmv7dAmt, totalSaleGmv28dAmt | GMV by period |
| totalVideoCnt, totalLiveCnt, totalIflCnt | Video count, live count, influencer count |
| productCommissionRate | Commission rate (decimal, 0.10 = 10%) |
| productRating, reviewCount | Rating and review count |
| skuCount | Number of SKUs |
| shopName, shopSellerId, shopTotalUnitsSold | Shop information |
| isCrossBorder | 1=cross-border, 0=local |
| isSShopText, freeShippingText | Fully-managed shop flag, free shipping flag |
| salesTrendFlagText | Sales trend label |
| categoryName | Product category |
| tiktokUrl, fastmossUrl, imageUrl | Links and image |
Usage Examples
1. Basic Keyword Search — Find top-selling products
{
"keyword": "phone case",
"region": "US",
"orderField": "total_units_sold",
"pageSize": 10
}2. High-Commission Product Discovery — Products with commission >= 10%
{
"keyword": "beauty",
"region": "US",
"commissionRateRange": {"min": 0.10},
"orderField": "commission_rate"
}3. Cross-Border Shop Products — Filter by shop type
{
"keyword": "gadget",
"region": "US",
"shopType": 2,
"orderField": "day7_units_sold"
}4. Influencer-Hot Products — Products promoted by many creators
{
"keyword": "skincare",
"region": "US",
"creatorCountRange": {"min": 50},
"orderField": "creator_count"
}5. Hot-Selling New Products on TikTok
{
"keyword": "fashion",
"region": "GB",
"isTopSelling": true,
"isNewListed": true,
"orderField": "day7_gmv"
}Show full SKILL.md (417 more words)Show less
Display Rules
- Present data only: Show query results in organized tables with key columns — product name, price, total sales, 7-day sales, GMV, rating, commission rate, and number of promoting influencers. Do not make subjective business advice
- Commission formatting: Commission rate is a decimal (0.10 = 10%) — always display as percentage for readability
- Cross-border awareness:
isCrossBorder: 1 = cross-border shop, 0 = local shop. Display clearly - Currency awareness: Include the currency field from the response when displaying prices and GMV
- Trend labels: Display
salesTrendFlagTextdirectly as the trend indicator - Shop flags: Display
freeShippingTextandisSShopTextdirectly (values are readable text) - Error handling: When a query fails, explain the reason based on the response and suggest adjusting parameters
Important Limitations
- No required parameters (all optional), but at minimum provide keyword or category for meaningful results
- Max 10 items per page
Applicable Scenarios
| User Says | Scenario |
|---|---|
| "Find trending products on TikTok" | Keyword search sorted by sales |
| "TikTok products with high commission" | Filter by commission rate range |
| "What's selling well on TikTok Shop US" | Regional product search by sales |
| "Search TikTok cross-border shop products" | Filter by shopType=2 |
| "Which products have many influencers promoting them" | Filter by creator count range |
| "TikTok fully-managed shop products" | Filter with isSshop=true |
| "TikTok product research for Southeast Asia" | Search specific SE Asian regions |
| "New hot-selling products on TikTok" | Use isTopSelling + isNewListed flags |
| "FastMoss product data" | Direct platform reference |
Not Applicable Scenarios
- TikTok influencer/creator analytics (follower counts, engagement rates of creators)
- TikTok video performance analytics (views, likes, shares on specific videos)
- TikTok advertising / ad campaign management
- Amazon, Shopee, or other non-TikTok platform product data
- TikTok Shop store-level analytics
- Product listing creation or optimization advice
- Logistics, fulfillment, or shipping analysis
Boundary judgment: When users say "product research" or "what should I sell on TikTok", if it involves searching and filtering products by sales data, pricing, or commission rates on TikTok Shop, then this skill applies. If they're asking about content strategy, video creation, or influencer outreach, it does not apply.
算力消耗规则
消耗 11 算力。
用户会因算力消耗而支付费用。请充分评估：当需要高频调用本技能，或用户对算力消耗量预期不足时，务必提醒用户，由用户决定是否继续。
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
For more high-quality, professional cross-border e-commerce skills, visit LinkFox Skills.
© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in skills/linkfox-fastmoss-product-search of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/fastmoss_product_search.py
- scripts/onboarding.py
Open the folder on GitHubat commit 38fef04
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Linkfox Fastmoss Product Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkfox Fastmoss Product Search this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT | |
| Social Contentfreekmurze/dotfiles | 1k | 23 repos | ~2.1k | Automated safety check: Pass | None | |
| Video Transcribewendy7756/AI-Video-Transcriber | 3.3k | — | ~937 | Automated safety check: Notes | Apache-2.0 | |
| Last30days CnJesseovo/last30days-skill-cn | 1.9k | — | ~2.4k | Automated safety check: Notes | MIT |
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Works with
Questions about Linkfox Fastmoss Product Search
What does Linkfox Fastmoss Product Search do?
基于FastMoss数据搜索和筛选TikTok全球电商商品，支持关键词搜索、多维度筛选（类目、店铺类型、佣金率、销量、达人数等）和排序。当用户提到TikTok选品、TikTok商品搜索、TikTok产品数据、TikTok达人带货、TikTok佣金率、TikTok爆款追踪、TikTok GMV分析、TikTok product search, TikTok product research…. Linkfox Fastmoss Product Search is an agent skill from linkfox-ai/linkfox-skills.
How do I install Linkfox Fastmoss Product Search in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-fastmoss-product-search -a claude-code`. Or copy the skill folder (skills/linkfox-fastmoss-product-search in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-fastmoss-product-search in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Fastmoss Product Search in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-fastmoss-product-search -a codex`. Or copy the skill folder (skills/linkfox-fastmoss-product-search in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-fastmoss-product-search in your project. Codex loads it when a task matches its description.
Can I use Linkfox Fastmoss Product Search in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-fastmoss-product-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-fastmoss-product-search, .gemini/skills/linkfox-fastmoss-product-search, .github/skills/linkfox-fastmoss-product-search and .opencode/skills/linkfox-fastmoss-product-search in your project.
What does Linkfox Fastmoss Product Search need to run?
Going by SKILL.md and its folder, Linkfox Fastmoss Product Search needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
Does Linkfox Fastmoss Product Search access the network?
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
Is Linkfox Fastmoss Product Search safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Linkfox Fastmoss Product Search use?
Linkfox Fastmoss Product Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Linkfox Fastmoss Product Search use?
About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Fastmoss Product Search?
Skills that share tags, products or a category with Linkfox Fastmoss Product Search: Social (coreyhaines31/marketingskills, 54k stars), Last30days (mvanhorn/last30days-skill, 64k stars), Social Content (freekmurze/dotfiles, 1k stars) and Video Transcribe (wendy7756/AI-Video-Transcriber, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Fastmoss Product Search?
linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.
Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.